Data integrity characteristic: correctness
Data is correct when it is in the right form and follows set rules, such as the right data type, format, valid values and calculation. It is not the same as accuracy.
Understanding Data integrity characteristic: correctness in VCE Data Analytics U4O2
What it does: Correctness includes calculations that follow the rules, so the formula must multiply price by quantity to give the right total. A validation rule checks that data follows the rules set for it, such as a mark staying between 0 and 100. Correctness means the data is in the right form. A word in a numeric field is the wrong data type, so it is not correct. Both entries show the same date, but only 14/03/2025 follows the required format, so only it is correct. Valid values are those allowed by the rules set for the field. 15 is outside the range 7 to 12, so it is not correct.
Common mistakes: A whole number is the correct data type for age, so it should be accepted. The ELSE branch is where wrong types are rejected. Line 3 should be ACCEPT age. The rule must set the format the data follows. The value 15/03/2008 is in DD/MM/YYYY form, so the rule should be DD/MM/YYYY.
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Quick Questions
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Key Term
CorrectnessFill in the Blanks
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